AI Consulting
AI Adoption Consulting
Get your teams using the AI tools you already have, and create real value with them.
Services built around your teams
General-purpose AI only creates value when it’s applied to the realities of your business: your teams, your roles and the work people do every day. Our strategic AI adoption services help make that happen, from organisation-wide enablement through to hands-on support embedded within individual teams.
Embedded team enablement
This is where most of the value gets created. Our AI consultants and forward-deployed engineers work alongside your teams on real business challenges. They identify where AI fits into everyday work, apply the tools you already have and help people realise value quickly, rather than expecting them to translate generic training into practical results.
Hands-on, role-specific training
Broad AI training has its place, and we provide it through workshops, learning materials and organisation-wide programmes. But lasting adoption happens when learning is built around the realities of each role. By focusing on the work people actually do, we help teams see where AI fits, build confidence through practice and start creating value from day one.
From individual use to end-to-end workflows
The biggest gains rarely come from making individual tasks faster. They come from redesigning how work flows across a team. Once AI is part of everyday work, we identify opportunities to rethink end-to-end opportunities, prioritise those with the greatest commercial impact, and help you implement and measure the value they create.
Executive and manager enablement
Successful AI adoption depends as much on leadership as technology. We equip executives and managers to lead the change with confidence: communication a clear vision, setting expectations for responsible use, addressing concerns, and helping teams adapt as roles, processes and ways of working evolve.
What makes Elixirr different?
We embed, we don’t just present
The biggest difference is how we deliver adoption. We work alongside your teams on live business priorities, not just from the front of a training room. Workshops and learning materials have their place, but lasting adoption comes from applying AI to real decisions, processes and ways of working.
We make general-purpose AI specific
AI is general-purpose. Business value isn’t. We help every team understand where AI fits into their responsibilities, how it improves the work they do and where it creates measurable impact. That’s how experimentation becomes everyday practice.
We measure what people do differently, not who attended
Training completion tells you very little about adoption. We measure success by what people do differently: how AI is being used, how ways of working are changing , and the value those changes create for the business.
We prepare your organisation for what’s next
Adoption is only the beginning. As AI becomes embedded, it raises bigger questions about roles, leadership and operating models. We help organisations navigate those changes as they emerge, ensuring today’s adoption becomes tomorrow’s competitive advantage.
Case studies
Every organisation adopts AI differently. Explore how we’ve helped global clients across industries turn AI from capability into measurable business value.
Give your teams something they can act on
AI delivers results when people know how to apply it with confidence. Tell us about your organisation, and we’ll show you what effective adoption looks like in practice.
FAQs
AI adoption means having people use AI in their everyday work in a way that is useful and relevant in their everyday work.
It’s more than providing access to AI tools or running a one-off training session. Successful adoption happens when people understand where AI adds value, use it responsibly, and make it a natural part of how they work.
The biggest challenges is usually how people understand and use AI. People may be unsure where AI fits into their everyday work, and some worry about what it means for their job. Managers may lack the confidence to guide their teams. Without practical support, early enthusiasm often fades and adoption stalls.
Training is another common challenge. Organisation-wide sessions create awareness, but lasting adoption requires role-specific guidance that helps people apply AI to the work they do every day.
An AI adoption framework provides a structured approach to embedding AI across the organisations.
That means helping individuals apply AI in their roles, redesigning team workflows where appropriate and equipping leaders to guide change with confidence. The objective isn’t simply greater AI usage, but lasting improvements in how work gets done.
Training completion rates tell you who attended a session. They don’t tell you whether adoption has happened.
A better measure is whether people are using AI consistently, where they’re applying it and what business value it’s creating. That includes improvements in productivity, quality, decision-making, employee confidence and the wider adoption of AI across teams.
Successful adoption starts well before people begin using AI.
Organisations need to communicate why AI is being introduced, what it means for different roles and how employees will be supported. Managers also need the confidence to answer difficult questions, set expectations and help their teams adapt as ways of working evolve.
